GET GENERATIVE-AI-LEADER EXAM QUESTIONS TO ACHIEVE HIGH SCORE

Get Generative-AI-Leader Exam Questions To Achieve High Score

Get Generative-AI-Leader Exam Questions To Achieve High Score

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Google Cloud Certified - Generative AI Leader Exam Sample Questions (Q16-Q21):

NEW QUESTION # 16
A company wants a generative AI platform that provides the infrastructure, tools, and pre-trained models needed to build, deploy, and manage its generative AI solutions. Which Google Cloud offering should the company use?

  • A. BigQuery
  • B. Google Cloud Storage
  • C. Vertex AI
  • D. Google Kubernetes Engine (GKE)

Answer: C

Explanation:
Vertex AI is Google Cloud's unified machine learning platform that provides end-to-end support for the ML lifecycle, including access to pre-trained models (foundation models), tools for fine-tuning, deployment, and management of generative AI solutions. BigQuery is a data warehouse, GKE is for container orchestration, and Cloud Storage is for object storage; while they might be components used with Vertex AI, they are not the comprehensive generative AI platform themselves.
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NEW QUESTION # 17
A development team is configuring a generative AI model for a customer-facing application and wants to ensure the generated content is appropriate and harmless. What is the primary function of the safety settings parameter in a generative AI model?

  • A. To control the creativity and randomness of the model's output by adjusting the diversity of word choices.
  • B. To determine the number of tokens the model can process at once by influencing the complexity and length of inputs and outputs.
  • C. To limit the maximum text length that the model generates by ensuring concise responses.
  • D. To filter out potentially harmful or inappropriate content from the model's output based on the desired level of filtering.

Answer: D

Explanation:
Safety settings in generative AI models are specifically designed to prevent the generation of content that could be harmful, offensive, or inappropriate. This includes filtering for categories like hate speech, sexually explicit content, self-harm, and violence, based on predefined thresholds. Options A, B, and D refer to other parameters like max_output_tokens or temperature, which control output length, input/output processing, and creativity, respectively, not safety.
________________________________________


NEW QUESTION # 18
A pharmaceutical company's research and development department spends significant time manually reviewing new scientific papers to identify potential drug targets. They need a solution that can answer questions about these documents and provide summarized insights to researchers without requiring extensive coding expertise. What should the organization do?

  • A. Use copyright for Google Workspace to facilitate collaborative document review.
  • B. Use Vertex AI Search to index the papers and enable keyword-based searches.
  • C. Use Vertex AI Agent Builder to create a custom AI agent.
  • D. Use Vertex AI AutoML to train a model that classifies papers into predefined research areas.

Answer: C

Explanation:
The requirement is to answer questions about the documents and provide summarized insights without requiring extensive coding expertise. Vertex AI Agent Builder is designed precisely for creating custom AI agents, often with low-code or no-code capabilities, that can interact with and process large volumes of information like scientific papers. While Vertex AI Search could index papers for keyword searches, it doesn't directly answer questions or provide summarized insights in the same way a generative AI agent built with Agent Builder could. copyright for Google Workspace is for collaborative work, not specifically for building custom AI agents for document analysis. Vertex AI AutoML is for training classification models, which is different from answering questions and summarizing.
________________________________________


NEW QUESTION # 19
A highly regulated financial institution wants to use copyright as the core decision engine for a loan approval system that will deterministically approve or reject loan applications based on a strict set of predefined criteria. Why is this an inappropriate use case for copyright?

  • A. copyright deployment for this scenario would be too expensive and complex.
  • B. copyright cannot integrate with required financial databases.
  • C. copyright is designed for flexible content generation and inference, not rigid rule-based decisions.
  • D. copyright is not equipped to handle structured numerical data for financial assessments.

Answer: C

Explanation:
copyright, as a large language model, excels at flexible content generation, summarization, understanding, and inference. However, it is not designed for deterministic, rule-based decision-making that requires absolute consistency and adherence to strict, predefined criteria, as is common in highly regulated financial systems like loan approvals. Such systems typically require traditional programming logic or specific rule engines for auditable and consistent outcomes.
________________________________________


NEW QUESTION # 20
The office of the CISO wants to use generative AI (gen AI) to help automate tasks like summarizing case information, researching threats, and taking actions like creating detection rules. What agent should they use?

  • A. Data agent
  • B. Customer service agent
  • C. Code agent
  • D. Security agent

Answer: D

Explanation:
Given the tasks


NEW QUESTION # 21
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